The aim of this book is to provide a comprehensive exploration of the recent developments in the field of quantum computing. The book introduces readers to the history, current state, and future prospects of quantum computing. It will provide a clear understanding of the challenges it faces in becoming a practical and transformative technology.
Quantum Computing: The Past, the Present, and the Future provides coverage of key areas such as introduction to quantum computers, quantum bits (Qubits), quantum information theory, quantum algorithms and complexity, implementation methods of quantum computing, quantum resistant cryptographic algorithms, quantum machine learning and applications of quantum computing. The book begins by introducing the mathematical foundations and quantum information theory to the readers and includes various techniques such as error detection and error correction. Next, a detailed description of a secure quantum channel-based communication using photons is also presented. The authors also elaborate on various techniques being pursued in realizing qubits and quantum computers including quantum dots, superconducting circuits, electron spins, and quantum wires that enable the physical realization of quantum computers. The book covers how quantum research deals with developing quantum-resistant cryptographic algorithms to secure communication channels and important information. The book closes with the research, development and prospects of quantum computing including the growth of quantum solutions to computationally exponential business problems.
This book presents quantum computing to a broad audience including academics, students, computer scientists, engineers, and mathematicians. It will assist experts and aspiring quantum computing scholars to learn new quantum computing skills and to improve their expertise and applications of the technology.
Professor Dr. Sam Goundar is an international academic having taught at twelve different universities in ten different countries. He is currently a Senior Lecturer in Information Technology at RMIT University, Australia (based in Vietnam), Adjunct Professor of Computer Science at The University of Fiji, and Visiting Professor of Data Science at SRM University, Chennai, India. His current research interest are Artificial Intelligence, Blockchain, Cyber Security and Educational Technologies.
Dr. K. Reddy Madhavi completed B. Tech from SV University, Tirupati, M. Tech from JNTU Hyderabad and PhD from JNTU, Anantapur and currently working as Professor, School of Computing Mohan Babu University, Tirupati. She is the life member of CSI, IETE, ISTE, member of ACM and faculty advisor for Soft Computing Research Society (SCRS) Student chapter.
Dr. J. Avanija completed her Ph.D at Anna University Chennai, India, and is currently a Professor in the School of Computing, Mohan Babu University, Andhra Pradesh, Tirupati, India. She has 23 years of experience in academia and her research area of interests include semantic web mining, machine learning, artificial intelligence, big data and cloud computing.
